Evidence map›Paper›PMID 29108335›Full record

ArticleOncotarget2017

A three gene immunohistochemical panel serves as an adjunct to clinical staging of patients with head and neck cancer.

Chin-Ann J Ong, Nicholas B Shannon, Stefan Mueller, Sze Min Lek, Xuan Qiu, Fui Teen Chong, Ke Li, Kelvin K N Koh, Gerald C A Tay, Thakshayeni Skanthakumar and 8 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. A novel seven-gene panel predicts the sensitivity and prognosis of head and neck squamous cell carcinoma treated with platinum-based radio(chemo)therapy.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021
    Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 4 institutions in 1 country.

Chin-Ann J OngDepartment of General Surgery, Singapore General Hospital, S169856, Singapore.
Nicholas B ShannonCancer and Stem Cell Biology, Duke-NUS Graduate Medical School, S169857, Singapore.
Stefan MuellerDivision of Surgical Oncology, National Cancer Centre, S169610, Singapore.
Sze Min LekCancer and Stem Cell Biology, Duke-NUS Graduate Medical School, S169857, Singapore.
Xuan QiuDepartment of General Surgery, Singapore General Hospital, S169856, Singapore.
Fui Teen ChongCancer Therapeutics Research Laboratory, National Cancer Centre, S169610, Singapore.
Ke LiCancer and Stem Cell Biology, Duke-NUS Graduate Medical School, S169857, Singapore.
Kelvin K N KohCancer and Stem Cell Biology, Duke-NUS Graduate Medical School, S169857, Singapore.
Gerald C A TayDepartment of General Surgery, Singapore General Hospital, S169856, Singapore.
Thakshayeni SkanthakumarDivision of Surgical Oncology, National Cancer Centre, S169610, Singapore.
Jacqueline S G HwangDepartment of Anatomical Pathology, Singapore General Hospital, S169856, Singapore.
Tony Kiat Hon LimDepartment of Anatomical Pathology, Singapore General Hospital, S169856, Singapore.
Mei Kim AngDepartment of Medical Oncology, National Cancer Centre, S169610, Singapore.
Daniel S W TanDepartment of Medical Oncology, National Cancer Centre, S169610, Singapore.
Ngian-Chye TanSinghealth Duke-NUS Head and Neck Centre, Singhealth, S169856, Singapore.
Hiang Khoon TanSinghealth Duke-NUS Head and Neck Centre, Singhealth, S169856, Singapore.
Khee Chee SooSinghealth Duke-NUS Head and Neck Centre, Singhealth, S169856, Singapore.
N Gopalakrishna IyerCancer and Stem Cell Biology, Duke-NUS Graduate Medical School, S169857, Singapore.
National Cancer Centre Singapore · SGSingapore General Hospital · SGDuke-NUS Medical School · SGSingHealth Duke-NUS Academic Medical Centre · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent management of head and neck squamous cell carcinoma (HNSCC) depends on tumor staging. Despite refinements in clinical staging algorithms, outcomes remain unchanged for the last two decades. In this study, we set out to identify a small, clinically applicable molecular panel to aid prognostication of patients with HNSCC. MATERIALS AND

methodsData from The Cancer Genome Atlas (TCGA) was used to derive copy number aberrations and expression changes to identify putative prognostic genes. To account for cross entity relevance of the biomarkers, HNSCC (

findingsUsing GISTIC algorithm together with gene expression analysis, we identified six putative prognostic genes in at least two out of three cancers analyzed, of which four were successfully optimized for automated IHC. Of these, three were successfully validated; each molecular target being significantly prognostic on univariate analysis. Patients were differentially segregated into four prognostic groups based on the number of genes dysregulated (

interpretationWe have identified and validated a clinically applicable IHC biomarker panel that is independently associated with overall survival. This panel is readily applicable, serving as a useful adjunct to current staging systems and provides novel targets for future therapeutic strategies.

Indexed as

genomicshead and neck squamous cell carcinomaimmunohistochemistry

Identifiers

PMID29108335
PMCPMC5668068
OpenAlexW2631935356

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.